Best Machine Learning Software - Page 8

How Many Machine Learning Software Products Does G2 Track?

Total Products under this Category: 485

Category Stats (Aug 2026)

  • Average Rating: 4.33/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modal Labs (+5.57%) - Among all products in this category, Modal Labs recorded the largest rating increase compared to last month

Last updated: August 19, 2026

How Does G2 Rank Machine Learning Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,000+ Authentic Reviews
  • 485+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Machine Learning Software

G2 Grid® for Machine Learning Software plotting products by satisfaction and market presence

Highlighted products: Gemini Enterprise Agent Platform, IBM watsonx.ai, SAS Viya, Azure OpenAI Service, Amazon Personalize, Google Cloud TPU, Alteryx, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning/grids.json?focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=sas-sas-viya&focus%5B%5D=azure-openai-service&focus%5B%5D=amazon-personalize&focus%5B%5D=google-cloud-tpu&focus%5B%5D=alteryx&focus%5B%5D=dataiku)

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SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

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Sparkling Water

Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. Spark is an elegant and powerful general-purpose, open-source, in-memory platform with tremendous momentum. H2O is an in-memory platform for machine learning that is reshaping how people apply math and predictive analytics to their business problems. Integrating these two open-source environments provides a seamless experience for users who want to make a query using Spark SQL, feed the results into H2O to build a model and make predictions, and then use the results again in Spark. For any given problem, better interoperability between tools provides a better experience.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Sparkling Water?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 5.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 7.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Sparkling Water?

  • Seller: H2O.ai
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @h2oai
    25,222 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    345 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Do G2 Reviewers Say About Sparkling Water?

AI-generated summary from verified user reviews

Pros
  • Users find Sparkling Water very easy to use, making it a practical choice for hydration on-the-go.

What Are Recent G2 Reviews of Sparkling Water?

What Are G2 Users Discussing About Sparkling Water?

Accord.MachineLearning

Accord.MachineLearning contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate Accord.MachineLearning?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Accord.MachineLearning?

  • Seller: Orchard Core
  • Year Founded: 2014
  • HQ Location: Redmond, US
  • Twitter: @dotnetfdn
    60,353 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Accord.MachineLearning?

What Are G2 Users Discussing About Accord.MachineLearning?

Acodis

Acodis has been pioneering document data automation since its founding in 2016. Today, global industry leaders in Life Sciences use Acodis to accelerate to accelerate their go-to-market motions in Quality and Regulatory. By automating repetitive document-based processes, Acodis decreases manual workload, increases data quality and enables many automation, genAI, and analytical use-cases. For instance, Acodis can turn clinical studies and certificates of analysis into structured and validated data, or automate the review of Batch Record documents. The solutions are based on one configurable platform which can absorb diverse inputs (pdfs, scans, xls, etc.), turn these documents into machine-readable data and take specific actions (extracting values, checking signatures, checking process steps, etc.). Powered by proprietary machine learning algorithm (e.g. GxP suitable), the solution is made available in dedicated instances in a secure cloud setup. Acodis can process any document type in any language and seamlessly integrates with your systems. You can easily export your data from Acodis via API to feed and enhance your ERP, CRM, DMS, RIM system of choice, including a standard integration in Veeva.

Average Rating: 4.8/5.0

Total Reviews: 28

How Do G2 Users Rate Acodis?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 8.7/10)
  • Ease of Use: 9.1/10 (Category avg: 8.5/10)
  • Quality of Support: 9.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Acodis?

  • Seller: Acodis
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Winterthur, CH
  • Twitter: @acodis
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 45% Large, 31% Medium

What Do G2 Reviewers Say About Acodis?

AI-generated summary from verified user reviews

Pros
  • Users commend the exceptional customer support of Acodis, praising responsiveness, clear communication, and dedicated assistance.
  • Users appreciate the ease of use of Acodis, enjoying its user-friendly interface and quick results.
  • Users love the user-friendly software with fast implementation and excellent customer support, enhancing overall experience.
  • Users value Acodis for its efficient data extraction from unstructured sources and responsive support team assistance.
  • Users value the effective data extraction capabilities of Acodis, overcoming challenges with unstructured information effortlessly.
Cons
  • Users face challenges with OCR issues, particularly in processing tables and document categorization effectively.
  • Users experience technical issues with document allocation and structured data output, affecting workflow reliability and efficiency.
  • Users experience communication issues with Acodis, suggesting the need for more proactive engagement and clearer processes.
  • Users find the complexity of features in Acodis overwhelming, making initial use challenging.
  • Users face data inaccuracy issues with Acodis, hindering document allocation and structured data processing efficiency.

What Are Recent G2 Reviews of Acodis?

What Are G2 Users Discussing About Acodis?

AForge.NET

AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

Average Rating: 3.8/5.0

Total Reviews: 2

How Do G2 Users Rate AForge.NET?

  • Has the product been a good partner in doing business?: 5.0/10 (Category avg: 8.7/10)
  • Ease of Use: 6.7/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 5.0/10 (Category avg: 8.5/10)

Who Is the Company Behind AForge.NET?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of AForge.NET?

What Are G2 Users Discussing About AForge.NET?

AInnovation

AInnovation Technology Group Co., Ltd. (AInnovation, stock code 2121.HK) was established in February 2018. With the mission of "empowering business value with artificial intelligence", it is a fast-growing enterprise-level AI solution provider and "AI+manufacturing" solution provider in China. The company is committed to using cutting-edge artificial intelligence technology to provide enterprises with AI products and solutions, including AI platforms, algorithms, software and AI-enabled equipment, to improve customer operational efficiency and business value and achieve digital transformation.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate AInnovation?

  • Ease of Use: 8.3/10 (Category avg: 8.5/10)
  • Quality of Support: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind AInnovation?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of AInnovation?

AstroML

AstroML is a Python module for machine learning and data mining that provide a community repository for fast Python implementations of common tools and routines used for statistical data analysis in astronomy and astrophysics, to provide a uniform and easy-to-use interface to freely available astronomical datasets.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate AstroML?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind AstroML?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of AstroML?

What Are G2 Users Discussing About AstroML?

AVDecision

AVDecision is a decision support software that learns from real time activities and interactions then make actions and decisions.

Average Rating: 4.0/5.0

Total Reviews: 2

How Do G2 Users Rate AVDecision?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Ease of Use: 7.5/10 (Category avg: 8.5/10)
  • Quality of Support: 7.5/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind AVDecision?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of AVDecision?

What Are G2 Users Discussing About AVDecision?

BMC AMI Data

BMC AMI Data is an intelligent data management and optimization solution for IBM Z environments. It helps enterprises manage, protect, and optimize mission-critical mainframe data while reducing operational complexity, cost, and risk. BMC AMI Data leverages automation, advanced analytics, and predictive insights to streamline data maintenance, improve performance, and ensure the availability of critical workloads across Db2, IMS, VSAM, and related systems. The solution enables data teams to move from reactive management to proactive, insights-driven operations. Key capabilities include: - Automated data management and maintenance to reduce manual effort and improve operational efficiency - Real-time analytics and predictive insights to optimize performance and anticipate issues before they impact workloads - CPU and resource optimization to control costs and improve system efficiency at scale - Data protection and risk reduction to safeguard critical information and maintain data integrity - Support for modernization initiatives by simplifying how mainframe data is managed and integrated with evolving business needs - On-platform processing that keeps data secure and managed directly within the IBM Z environment By modernizing mainframe data management with automation and intelligence, BMC AMI Data helps organizations control data growth, reduce operational risk, and ensure high-performance delivery of always-on, business-critical applications.

Average Rating: 4.4/5.0

Total Reviews: 39

How Do G2 Users Rate BMC AMI Data?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.7/10)
  • Ease of Use: 8.5/10 (Category avg: 8.5/10)
  • Quality of Support: 8.6/10 (Category avg: 8.4/10)
  • Ease of Admin: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind BMC AMI Data?

  • Seller: BMC Software
  • Company Website:
  • Year Founded: 1980
  • HQ Location: Houston, TX
  • Twitter: @BMCSoftware
    47,946 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8,877 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Large, 38% Small

What Do G2 Reviewers Say About BMC AMI Data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the analytics capabilities of BMC AMI Data, enhancing database management and decision-making processes.
  • Users value the automation features of BMC AMI Data, enhancing integration and ensuring quality standards are met.
  • Users appreciate the user-friendly interface of BMC AMI Data, finding it easy to navigate and utilize effectively.
  • Users appreciate the easy integrations with tools like Jenkins and UrbanCode, enhancing workflow efficiency and compatibility.
  • Users appreciate the automation and monitoring features of BMC AMI Data, enhancing database management efficiency and usability.
Cons
  • Users are concerned about the high expense of BMC AMI Data, which may deter budget-conscious clients.
  • Users report installation difficulties with BMC AMI Data, impacting their ability to effectively set up the system.
  • Users report a significant learning curve with BMC AMI Data, making initial use challenging for many.
  • Users find limited compatibility with older Db2 systems, which hampers the overall integration experience with BMC AMI Data.
  • Users express concerns about the limited customization options in BMC AMI Data, affecting their ability to adapt the product.

What Are Recent G2 Reviews of BMC AMI Data?

What Are G2 Users Discussing About BMC AMI Data?

Breeze

Breeze is a Scala library for numerical processing that aims to be generic, clean, and powerful without sacrificing (much) efficiency.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Breeze?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Breeze?

  • Seller: ScalaNLP
  • HQ Location: N/A
  • Twitter: @ScalaNLP
    191 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium

What Are Recent G2 Reviews of Breeze?

craft ai

Industrialiser l’Intelligence Artificielle Plateforme de MLOps & LLMOps La première plateforme dédiée à l'industrialisation de l'IA Générative et Responsable. Craft AI se charge de toute la complexité liée à l'industrialisation de vos IA pour vous permettre de vous focaliser sur l'essentiel : la Data Science et la création de valeur pour votre entreprise. LLM en production, Fine-tuning, Retrieval Augmented Generation (RAG), Services d'inférence, GPU & CPU, Monitoring des modèles, FinOps.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate craft ai?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind craft ai?

  • Seller: craft.ai
  • Year Founded: 2015
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    30 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of craft ai?

Deep Learning Reference Stack

The Deep Learning Reference Stack with Tensorflow is an integrated, highly-performant open source stack optimized for Intel Xeon Scalable and Client platforms. This release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.

Average Rating: 2.5/5.0

Total Reviews: 2

How Do G2 Users Rate Deep Learning Reference Stack?

  • Has the product been a good partner in doing business?: 5.0/10 (Category avg: 8.7/10)
  • Ease of Use: 5.0/10 (Category avg: 8.5/10)
  • Quality of Support: 5.8/10 (Category avg: 8.4/10)
  • Ease of Admin: 5.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Deep Learning Reference Stack?

  • Seller: Intel Corporation
  • Year Founded: 1968
  • HQ Location: Santa Clara, CA
  • Twitter: @intel
    4,467,591 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    106,198 employees on LinkedIn®
  • Ownership: NASDAQ:INTC

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Deep Learning Reference Stack?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Deep Learning Reference Stack beneficial for navigating content and software efficiently.
Cons
  • Users find the slow performance of the Deep Learning Reference Stack hampers their understanding and productivity.
  • Users find the slow speed of the Deep Learning Reference Stack hinders their understanding and overall experience.

Fritz AI

Quickly move from idea to production-ready app with our mobile machine learning platform.

Average Rating: 3.8/5.0

Total Reviews: 2

How Do G2 Users Rate Fritz AI?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 4.2/10 (Category avg: 8.4/10)

Who Is the Company Behind Fritz AI?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Fritz AI?

Gemini AI

Gemini AI is an advanced artificial intelligence platform designed to enhance business operations through intelligent automation and data-driven insights. By leveraging cutting-edge machine learning algorithms, Gemini AI enables organizations to streamline processes, improve decision-making, and drive innovation across various industries. Key Features and Functionality: - Intelligent Automation: Automates repetitive tasks, reducing manual effort and increasing operational efficiency. - Data Analysis and Insights: Processes large datasets to uncover patterns and provide actionable insights for strategic planning. - Natural Language Processing (NLP): Understands and interprets human language, facilitating improved customer interactions and support. - Predictive Analytics: Forecasts trends and outcomes, aiding in proactive decision-making and risk management. - Customizable Solutions: Offers tailored AI models to meet specific business needs and objectives. Primary Value and Problem Solved: Gemini AI addresses the challenge of managing complex and voluminous data by providing tools that automate analysis and generate meaningful insights. This empowers businesses to make informed decisions, optimize operations, and stay competitive in a rapidly evolving market. By integrating Gemini AI, organizations can enhance productivity, reduce costs, and foster innovation through intelligent automation and data-driven strategies.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Gemini AI?

  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind Gemini AI?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Gemini AI?

iTuring.ai

iTuring.ai is an enterprise-grade AI/ML zero-code platform that automates end-to-end AI/ML lifecycle from Data to Decision, along with complete governance and ethicality. It is specifically tailored for the BFSI sector, not limited to banks and insurers. Founded in 2018 by Suman Kumar Singh, Amit Kumar, Mohammed Nawas M P and ably supported by Srivalsan Ponnachath in the US and Bryan McLachlan in South Africa, iTuring.ai enables financial institutions to build, govern, and operationalize AI with a transparent, audit-ready framework. It truly empowers financial institutions to automate the full lifecycle of AI model development, deployment, and governance. The platform integrates automation for data preparation, feature engineering, model deployment, and monitoring in a unified, compliance-ready environment. With its unique blend of explainability and scalability, iTuring is helping financial organizations navigate complex regulatory landscapes while cutting down manual effort and speeding up AI deployment cycles.

Average Rating: 3.8/5.0

Total Reviews: 2

How Do G2 Users Rate iTuring.ai?

  • Ease of Use: 5.8/10 (Category avg: 8.5/10)
  • Quality of Support: 5.8/10 (Category avg: 8.4/10)

Who Is the Company Behind iTuring.ai?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About iTuring.ai?

AI-generated summary from verified user reviews

Pros
  • Users find iTuring.ai's interface extremely user-friendly, enabling seamless machine learning model development for all skill levels.
  • Users find iTuring.ai's implementation ease appealing, enabling effortless model development for organizations of all sizes.
  • Users praise the ease of use of iTuring.ai, allowing all organizations to deploy machine learning models effortlessly.
Cons
  • Users find the missing audit features of iTuring.ai limiting, as they sometimes need additional model evaluation.

What Are Recent G2 Reviews of iTuring.ai?

MachineLearning.jl

MachineLearning is a package that represents the very beginnings of an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API, it will be targeted towards the machine learning practitioner, working with a dataset that fits in memory on a single machine

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate MachineLearning.jl?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Ease of Use: 10.0/10 (Category avg: 8.5/10)
  • Quality of Support: 10.0/10 (Category avg: 8.4/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind MachineLearning.jl?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of MachineLearning.jl?

What Are G2 Users Discussing About MachineLearning.jl?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026